MotifGP is a motif discovery tool that uses multi-objective evolutionary algorithms to find DNA motifs. It evolves candidate motif solutions as network expressions using strongly typed genetic programming. MotifGP scores candidates based on how well they discriminate between input and control sequences while maintaining coverage of input sequences. When tested on 13 datasets, MotifGP identified known motifs and fully overlapped reference motifs in the databases, outperforming the existing DREME tool. Future work will explore different fitness functions and evolutionary methods to further improve motif discovery.